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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
| Date | Stars |
|---|---|
| 2026-07-24 | 4261 |
| 2026-07-25 | 4270 |
| 2026-07-28 | 4329 |
| 2026-07-30 | 4329 |
| 2026-08-06 | 4329 |
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# Remove AI Watermarks Remove AI provenance marks from images you generated yourself: - known visible labels such as the Gemini sparkle and vendor text marks; - invisible pixel watermarks through diffusion regeneration; - C2PA, EXIF, XMP, IPTC, and related AI metadata. > Try it online at [raiw.cc](https://raiw.cc) if you do not want to install Python > or run diffusion models locally. [](https://pypi.org/project/remove-ai-watermarks/) [](https://pypi.org/project/remove-ai-watermarks/) [](https://pepy.tech/project/remove-ai-watermarks) [](LICENSE) [](https://github.com/wiltodelta/remove-ai-watermarks/actions/workflows/test.yml) [](https://github.com/sponsors/wiltodelta) > This project is for lawful use on content you own. It does not target stock > agency previews or other watermarks that protect third party paid content. > See [scope, safety, and legal notes](docs/legal-and-safety.md). ## Choose what you want to do | Goal | Command | GPU | | --- | --- | --- | | Find provenance signals and watermarks | `identify` | No | | Remove known visible AI marks | `visible` | No | | Erase a region you select | `erase` | No | | Strip AI metadata | `metadata` | No | | Regenerate an image to disrupt invisible watermarks | `invisible` | Recommended | | Run visible, invisible, and metadata removal | `all` | Recommended | | Process a directory | `batch` | Depends on mode | ## Quick start Install the core CLI: ```bash uv tool install remove-ai-watermarks ``` Inspect an image: ```bash remove-ai-watermarks identify image.png ``` Remove a known visible mark and AI metadata: ```bash remove-ai-watermarks visible image.png -o clean.png ``` Strip metadata without running visible inpainting or diffusion: ```bash remove-ai-watermarks metadata image.png --remove -o clean.png ``` For invisible watermark removal, install the diffusion dependencies: ```bash uv tool install --force "remove-ai-watermarks[gpu]" remove-ai-watermarks invisible image.png -o clean.png ``` If the local detectors cannot confirm an invisible watermark but you know the image came from an AI generator, add `--force`: ```bash remove-ai-watermarks invisible image.png -o clean.png --force ``` See the [installation guide](docs/installation.md) for Homebrew, uv, optional features, and development setup. ## Examples ### Visible Gemini mark | Before | After | | --- | --- | |  |  | ### High quality invisible removal The `qwen-zimage` profile is the highest fidelity option for face heavy images. It is CUDA only and uses a much larger model stack than the default ControlNet profile. ```bash uv tool install --force "remove-ai-watermarks[qwen-zimage]" remove-ai-watermarks invisible image.png -o clean.png \ --pipeline qwen-zimage --force ``` | OpenAI example before | OpenAI example after | | --- | --- | | [](data/synthid/originals/ChatGPT%20Image%20May%2030,%202026,%2010_31_08%20AM.png) | [](docs/images/qwen-zimage/ChatGPT/ChatGPT%20Image%20May%2030,%202026,%2010_31_08%20AM_full_clean.png) | | Gemini example before | Gemini example after | | --- | --- | | [
